Context-aware Service Coordination in Mobile P2P Environments

CASCOMCASCOM's main objective is to develop, implement, validate, and trial of intelligent, context-aware agent-based service coordination infrastructure for innovative Semantic Web service discovery, composition, and execution across mobile and fixed peer-to-peer service networks.

The essential approach of CASCOM is the innovative combination of agent technology, semantic Web services, peer-to-peer, and mobile computing for intelligent peer-topeer mobile service environments. The services of CASCOM environment are provided by agents exploiting the CASCOM coordination infrastructure to efficiently operate in highly dynamic environments. The CASCOM intelligent peer-topeer (IP2P) infrastructure includes efficient communication means, support for context-aware adaptation techniques, as well as dynamic service discovery and composition planning.

CASCOM will implement and trial value-added support for business services for mobile workers and users across mobile and fixed networks. The vision of the CASCOM approach is that ubiquitous application services are flexibly co-ordinated and pervasively provided to the mobile users by agents in dynamically changing contexts of open, pervasive environments.

For end users, the CASCOM system provides seamless access to semantic Web services anytime, anywhere, and using any device. This gives freedom to mobile workers to do their business whenever and wherever needed. For network operators, CASCOM aims towards vision of seamless service experience providing better customer satisfaction. For service providers, CASCOM provides an innovative platform for business application services.

The project will carry out highly innovative research aimed at providing a framework for agent-based data and service coordination in IP2P environments. CASCOM will integrate and extend existing technologies in areas such as agent-based mobile computing, service co-ordination, and P2P computing in mobile environments. A generic, open IP2P service environment with its agents and co-ordination mechanisms will be prototypically implemented and deployed in CASCOM mostly as open-source software enabling instant take-up and use within European and world community.

In general, it is expected that the outcomes of CASCOM will have significant impact on the creation of a next-generation global, large-scale intelligent service environment. Both, research results on methods for service provision, discovery, composition and monitoring, and the deployed prototype of an open IP2P service environment in the context of nomadic computing will advance the state of the art of European and world knowledge in areas related to the deployment of services in open systems.

Technical Approach
Software agents will be a key technology to address the challenges of the CASCOM. IP2P networks provide an environment for agents to collaborate as peers sharing information, tasks, and responsibilities with each other. Agents help to manage the P2P network complexity, and they will improve the functionality of conventional P2P systems. Our innovations in this domain will concern the development of context-aware agentbased semantic Web services, and flexible resource-efficient co-ordination of such services in the nomadic computing field.

Service co-ordination mechanisms can be applied to multi-agent systems to improve their efficiency. Although this may be accepted on a conceptual level, the combination of agents and P2P environments certainly deserves more innovative research, especially regarding nomadic environments. In CASCOM, we will investigate mechanisms for service discovery algorithms for dynamic IP2P environments. The problem of service co-ordination can be split into several sub problems: discovery, composition planning, execution monitoring, and failure recovery. CASCOM will advance the state of the art by carrying out innovative research on how these problems can be solved in IP2P environments. Especially, CASCOM will provide flexible and efficient matching algorithms to be performed in large scale and resource limited IP2P environments. Further, CASCOM will develop planning mechanisms that establish plan fragments directly on top of the service directory to solve this problem.

So far, application scenarios have been specified and formal UML-descriptions for all scenarios have been generated. Moreover, the underlying conceptual architecture for IP2P networking as well as the components and methods for the service co-ordination and composition have been defined and partially developed. An integrated demonstrator will be evaluated during trials with end-users.

Consortium

  • DFKI brings to CASCOM its expertise in application oriented research and development of agent systems, knowledge on service discovery and mediation.
  • TeliaSonera has significant experience in data communications, nomadic service provisioning, mobile devices, and agent technology in nomadic environments.
  • EPFL brings its expertise in matchmaking and directory services for Web services, for planning service composition, and for the execution monitoring and failure recovery.
  • ADETTI will provide its expertise on personal agents, dynamic service representation, discovery and composition, adaptive situation aware mechanisms for the service discovery, and trust building mechanisms.
  • UNIBAS has experience of medical informatics and health information systems. Also, UNIBAS has experience in service composition, validation of composite services, and reliable infrastructures for the service execution and processes to CASCOM.
  • FRAMeTech has expertise on agent-based infrastructures taking into account various aspects related to service co-ordination taking security and privacy issues into account.
  • URJC's expertise in CASCOM is in the fields of agent systems and knowledge modelling. URJC's experience in knowledge models, organizational models, and coordination models benefit significantly the consortium.
  • EMA will bring to CASCOM its knowledge and expertise of pervasive emergency healthcare, for the research and development of the CASCOM solutions.

Project coordinator:
Oliver Keller
German Research Centre for Artificial
Intelligence DFKI GMbH
Tel: +49 681 302 5327
Fax: +49 681 302 2235
Email: This email address is being protected from spambots. You need JavaScript enabled to view it.
http://www.ist-cascom.org

Most Popular Now

Integrating Care Records is Good. Using …

Opinion Article by Dr Paul Deffley, Chief Medical Officer, Alcidion. A single patient record already exists in the NHS. Or at least, that’s a perception shared by many. A survey of...

Should AI Chatbots Replace Your Therapis…

The new study exposes the dangerous flaws in using artificial intelligence (AI) chatbots for mental health support. For the first time, the researchers evaluated these AI systems against clinical standards...

AI could Help Pathologists Match Cancer …

A new study by researchers at the Icahn School of Medicine at Mount Sinai, Memorial Sloan Kettering Cancer Center, and collaborators, suggests that artificial intelligence (AI) could significantly improve how...

AI Detects Early Signs of Osteoporosis f…

Investigators have developed an artificial intelligence-assisted diagnostic system that can estimate bone mineral density in both the lumbar spine and the femur of the upper leg, based on X-ray images...

AI Model Converts Hospital Records into …

UCLA researchers have developed an AI system that turns fragmented electronic health records (EHR) normally in tables into readable narratives, allowing artificial intelligence to make sense of complex patient histories...

AI Sharpens Pathologists' Interpret…

Pathologists' examinations of tissue samples from skin cancer tumours improved when they were assisted by an AI tool. The assessments became more consistent and patients' prognoses were described more accurately...

AI Tool Detects Surgical Site Infections…

A team of Mayo Clinic researchers has developed an artificial intelligence (AI) system that can detect surgical site infections (SSIs) with high accuracy from patient-submitted postoperative wound photos, potentially transforming...

Forging a Novel Therapeutic Path for Pat…

Rett syndrome is a devastating rare genetic childhood disorder primarily affecting girls. Merely 1 out of 10,000 girls are born with it and much fewer boys. It is caused by...

Mayo Clinic's AI Tool Identifies 9 …

Mayo Clinic researchers have developed a new artificial intelligence (AI) tool that helps clinicians identify brain activity patterns linked to nine types of dementia, including Alzheimer's disease, using a single...

AI Detects Fatty Liver Disease with Ches…

Fatty liver disease, caused by the accumulation of fat in the liver, is estimated to affect one in four people worldwide. If left untreated, it can lead to serious complications...

Meet Your Digital Twin

Before an important meeting or when a big decision needs to be made, we often mentally run through various scenarios before settling on the best course of action. But when...

NHS National Rehabilitation Centre to De…

The new NHS National Rehabilitation Centre will deploy technology to help patients to maintain their independence as they recover from life-changing injuries and illnesses and regain quality of life. Airwave Healthcare...